Chan Zuckerberg Initiative

Over the past decade, we’ve made big strides in science, technology, and community that are shaping the future of human health, learning, and connection. Follow Biohub and Learning Commons for the next chapter and check out what 10 years of breakthroughs look like → https://lnkd.in/gDZAxYeh

Over the past decade, CZI has built technologies to observe and program biology, created large-scale data resources, and developed tools that accelerate discovery — all with a commitment to open science. With advances in AI, we’re entering the next evolution of our science work — and giving it a name that reflects both the history of our organization and our vision for the future: Biohub Moving forward, Biohub will be Mark and Priscilla’s primary philanthropic effort, dedicated to building frontier AI for frontier biology. For nearly a decade, our Biohub model has brought together world-class scientists and engineers to develop breakthrough tools. Now, we’re expanding that model — combining cutting-edge AI tools with large-scale compute dedicated to biological research. This positions Biohub to become the first research lab uniting AI and biology to accelerate discovery — and share everything it produces openly with the world. Science moves faster when people, tools, and data come together, and that’s exactly what Biohub makes possible. We’re excited about this next chapter of our science work, and. follow along for updates Biohub.

Patient communities are changing the future of rare disease research. Since launching in 2019, the #RareAsOne Network has championed patient-led science that transforms lives. The new Cycle 2 Impact Report celebrates 20 organizations that: ✅ Engaged 6,000+ researchers ✅ Launched 13 registries & 12 natural history studies ✅ Collaborated with 65 industry partners ✅ Supported 150+ research projects Learn more about how patient-led innovation is driving more efficient, impactful, and translational biomedical discoveries: https://czi.co/3Lh6Xgs

Science should be open and inclusive by design. 💡✨ As we close out this year’s Open Science meeting, we can’t help but feel inspired by the leaders who have shown us that open science is not just about access, but about agency, empowering people everywhere to create, collaborate, and contribute to discovery. From the lively discussions to innovative project showcases, this week reaffirmed that shared data, tools, and ideas spark new connections and accelerate discovery. #OpenScience #TeamCZI #Collaboration #Community

We’re so proud to see Priscilla Chan be part of #WSJInnovators for her leadership in basic science research. Every day, she brings curiosity, compassion, and focus to advancing our mission to help scientists cure, prevent, or manage all disease. Congratulations, Priscilla — and thank you for inspiring us all.

We’ve been proud to support David Fajgenbaum, MD, MBA, MSc since the early days of our Rare As One Network. After surviving Castleman disease, David helped build a patient–researcher community that uncovered a treatment keeping him in remission for 15 years. Today, through the Castleman Disease Collaborative Network and Every Cure, he’s using AI to uncover new uses for existing drugs — opening up possibilities for treatments for people with rare diseases.

There’s a problem with AI for biology: every lab collects data differently, so it’s difficult to combine everything into one big picture that AI can learn from. To solve this, we outlined a strategy for collecting and sharing data so scientists can more easily use AI to study cells. https://czi.co/4n86I4s #AI #ML #Biology #science #data

What if we could measure the health of our immune systems as easily as checking our pulse? That’s the vision behind the Human Immunome Project, featured this week in MIT Technology Review. The story highlights immunologist John Tsang, and #CZBiohubNY Investigator + Steering Committee member, whose research is helping reveal how the immune system changes with age, stress, and disease. This work could one day make immune health a vital sign of its own. Read more: http://bit.ly/46MGShO 

Benchmarks are critical for AI to realize its full potential for accelerating biomedical discoveries. Our new tools let developers see how well their models really work, both technically and biologically, and help scientists pick the right model for their research. With seamless integration into your local environment, they will save developers time on model evaluation so they can spend more time building models that solve real biological questions. Freely available on CZI’s virtual cells platform, these benchmarking tools include vetted, high-quality tasks, metrics, and datasets from CZI, collaborators like NVIDIA Healthcare and the Allen Institute, and others in the single-cell community. CZI is leading the effort to develop and maintain these tools as a living, community-driven resource that will evolve as the field evolves, incorporating new data, refining metrics, and adapting to emerging questions in biology. By rallying the community around shared benchmarks, we’re speeding up scientific discovery and reshaping the way we study biology and understand disease.

"What you’ve come up with is a whole new world of sensors—it’s pretty extraordinary." —Eric Topol, MD, Ground Truths podcast Imagine a device that doesn’t just count steps or monitor glucose—but continuously measures inflammation in your body. Shana Kelley, President of #CZBiohubCHI, joined Eric to discuss how this technology—and other Biohub efforts—could open the door to a new era of personalized medicine. Listen to the episode (and hear Eric volunteer to be the first tester): https://lnkd.in/gzpSQM9E